Title of article
Monte Carlo statistical test for fuzzy quality
Author/Authors
Parchami, A. epartment of Statistics - Faculty of Mathematics and Computer - Shahid Bahonar University of Kerman, Kerman, Iran , Iranmanesh, H. Department of Statistics - Factually of Mathematical Sciences - Ferdowsi University of Mashhad, Mashhad, Iran , Sadeghpour Gildeh, B. Department of Statistics - Factually of Mathematical Sciences - Ferdowsi University of Mashhad, Mashhad, Iran
Pages
10
From page
115
To page
124
Abstract
Testing the capability of a productive process on the basis of the flexible fuzzy quality using Yongting's index is proposed in this paper by the Monte Carlo simulation.
The theoretical approach and detailed steps of an algorithm are given to simulate the critical-value-based and also p-value-based approaches to statistical testing fuzzy quality. Also, the probability of type extit{II} error of the quality test simulated by Monte Carlo approach. Moreover, a real-world case study is provided to show the performance of the proposed algorithm for triangular and trapezoidal fuzzy qualities.
Keywords
Testing hypotheses , Monte Carlo , p-value , Monte Carlo , capability index , fuzzy quality , the probability of type II error
Journal title
Iranian Journal of Fuzzy Systems (IJFS)
Serial Year
2022
Record number
2683363
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